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  1. IEEE Transactions on Network and Service Management
  2. Year : 2010 Volume : 7
  3. Issue 1
  4. Change scheduling based on business impact analysis of change-related risk
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Year : 2015 Volume : 12
Year : 2014 Volume : 11
Year : 2013 Volume : 10
Year : 2012 Volume : 9
Year : 2011 Volume : 8
Year : 2010 Volume : 7
Issue 4
Issue 3
Issue 2
Issue 1
IEEE Transactions on Network and Service Management [Front cover]
The taming of the shrew: mitigating low-rate TCP-targeted attack
Introducing size-oriented dropping policies as QoS-supportive functions
Correlation, visualization, and usability analysis of routing policy configurations
A gossiping protocol for detecting global threshold crossings
Change scheduling based on business impact analysis of change-related risk
Year : 2009 Volume : 6
Year : 2008 Volume : 5
Year : 2007 Volume : 4
Year : 2006 Volume : 3
Year : 2005 Volume : 2
Year : 2004 Volume : 1

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A Multiobjective Memetic Approach to Job-Shop Scheduling under Uncertainty

Conference Proceedings

Change scheduling based on business impact analysis of change-related risk

Content Provider IEEE Xplore Digital Library
Author Setzer, T. Bhattacharya, K. Ludwig, H.
Copyright Year 2004
Abstract In today's enterprises, the alignment of IT service infrastructures to continuously changing business requirements is a key cost driver, all the more so as most severe service disruptions can be attributed to the introduction of changes into the IT service infrastructure. Change management is a disciplined process for introducing required changes with minimum business impact. Considering the number of business processes in an enterprise and the complexity of the dependency network of processes to invoked services, one of the most pressing problems in change management is the risk-aware prioritization and scheduling of vast numbers of service changes. In this paper we introduce a model for estimating the business impact of operational risk resulting from changes. We determine the business impact based on the number and types of business process instances affected by a change-related outage and quantify the business impact in terms of financial loss. The model takes into account the network of dependencies between processes and services, probabilistic change-related downtime, uncertainty in business process demand, and various infrastructural characteristics. Based on the analytical model, we derive decision models aimed at scheduling single or multiple correlated changes with the lowest expected business impact. The models are evaluated using simulations based on industry data.
File Size 837584
File Format PDF
ISSN 19324537
Volume Number 7
Issue Number 1
Language English
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date 2010-03-01
Publisher Place U.S.A.
Access Restriction One Nation One Subscription (ONOS)
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword Risk analysis Risk management Job shop scheduling Costs Pressing Uncertainty Analytical models Legislation Informatics Software libraries Business impact analysis, change management, change scheduling, risk management, service networks, service transition management
Content Type Text
Resource Type Article
Subject Computer Networks and Communications Electrical and Electronic Engineering
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